Toast creates technology to help restaurants and local businesses succeed in a digital world. The Marketing Operations team is looking for a GTM Engineer, AI Innovation to build AI-powered agents and workflows that transform how marketers execute and achieve self-sufficiency.
Responsibilities:
- Identify high-leverage marketing workflows and build working solutions — agents, automations, and AI-powered tools — tailored to each team's processes
- Design, build, and deploy custom AI agents and agentic workflows that integrate AI APIs, MCP servers, and automation platforms into our GTM motion
- Build evaluation frameworks to measure agent quality, accuracy, and reliability — including prompt evals, agent benchmarking, and regression testing
- Coach marketers through a progressive AI journey: from first win, to regular integration, to full workflow transformation, to self-sufficiency
- Recognize patterns and scale what works — think in reusable systems, not one-off solutions
- Own build-vs-buy decisions from business case through implementation
- Prepare teams for an agentic future: designing, building, and overseeing multi-agent workflows
- Create documentation, playbooks, and reusable templates that the entire team can leverage
Requirements:
- 8+ years in growth marketing, product management, systems, or operations, including 2+ years in GTM Engineering, AI Engineering, or Solutions Engineering
- Demonstrated experience designing, building, and deploying AI agents and agentic workflows that transformed real work — not just using AI, but building with it
- Experience building eval frameworks for AI systems — prompt evals, output quality scoring, agent benchmarking, and testing against ground truth or human baselines
- Practical experience fine-tuning language models for production use cases
- Builder mindset — you'd rather ship a working POC today than present a deck about what's possible next quarter
- Strong communicator who can translate technical concepts for non-technical audiences and coach different learners
- Track record of enabling others to permanently change how they work
- Growth ownership mindset — executes end-to-end without constant guidance
- Hands-on with AI APIs and agent frameworks (e.g., OpenAI, Anthropic/Claude, Gemini, LangChain, CrewAI, RAG, MCP)
- Demonstrated Clay experience
- Familiar with martech stacks (automation tools, CDPs, CRMs, data warehouses)
- Working knowledge of web services APIs and cloud services (AWS, GCP or Azure)
- Experience with scripting languages such as Python and JavaScript - basic understanding of common syntax, able to interact with generative coding models, and debug API integrations